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Build and deploy ML models and data pipelines for enterprise clients, using Python and cloud platforms to solve business problems.
Data Scientist role at Georgia Institute of Technology to analyze educational data, build predictive models, and support data-driven decisions for student success and institutional strategy.
Lead the development of an AI-driven Recommendation Agent to proactively resolve delivery anomalies using causal AI and prescribe actions to improve customer experience.
Builds predictive models and analyzes datasets to extract business insights; collaborates with cross-functional teams using machine learning and statistical methods.
Build modern, cloud-based data architectures for clients as a data scientist, focusing on machine learning and high-tech innovation.
Build ML pipelines that turn raw bioengineering data into insights, guiding synthetic biology experiments and accelerating molecule discovery with ultrasound and AI.
Data scientist analyzing Chemical, Biological, Radiological, and Nuclear threats to inform Air Force strategy, policy, and operational models using Python/C++ and hazard prediction tools like VLSTRACK.
A Principal Data Scientist at Atlassian uses statistical modeling, experimentation, and data storytelling to drive product and business strategy, collaborating with cross-functional teams to analyze customer engagement and shape roadmaps using SQL, Python, and visualization tools.
Principal Data Scientist at Atlassian partners with business leaders to turn data into insights and visualizations that drive product and strategy decisions using SQL, Python/R, and visualization tools.
Principal Data Scientist builds ML models and AI tools to guide product strategy for Atlassian’s Service Collection, mentors junior scientists, and partners with engineering and product teams.
Overview As a Principal Data Scientist on the Global Experiences Data Science team, you'll sit at the intersection of cutting-edge analytics and Atlassian's most customer-facing products. Reporting to the…
Build ML/NLP/LLM models and statistical analyses to detect fraud, validate transactions, and improve seller compliance for Amazon’s global ecommerce platform.
Build and optimize ML models for crypto marketing: predict user behavior, forecast LTV, and allocate ad spend to drive growth on Binance’s exchange platform.
Customer Data Scientist at Amplitude helping APJ customers design, run, and scale A/B tests and experimentation programs using Statsig’s platform and statistical best practices.
Build ML models to personalize GoPay’s features and recommendations, working with product and engineering teams to boost user engagement.
Designs and trains multilingual large language models while ensuring responsible AI behavior and collaborating with product and engineering teams.
Analyze large datasets to extract insights, solve business challenges, and recommend data-driven strategies using statistics and modeling.
Build and deploy AI models that solve real-world healthcare challenges, collaborating with clinicians to turn data into production-ready clinical solutions.
Lead a team to build and deploy predictive/prescriptive models using Python, Spark, and ML/AI, driving data-driven decisions and scalable analytics solutions.
Build ML models and real-time pipelines to extract insights from clinical sensor data, using time-series analysis and AI techniques like prompt engineering and RAG.
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